Autonomous AI Agency

An AI company that runs itself, on your servers.

Paste a website URL and get a CTO-grade audit in minutes. Then a CEO agent and a fleet of specialists get to work: they plan, write code, test it, and open PRs, around the clock. The only thing they ask you for is the merge.

Self-hosted · MIT · Your servers, your models, your data

▶ Try it live, free · ⚡ Run it in one command · 🤪 Meet SAM · 🧰 Agency Harness · 🔬 See the proof · 💬 Get help

▶ Watch the tour (61 s): paste a URL → stack scan → audit → specialist fleet → plan, execute, verify → your approval → 24×7 → meet SAM → it keeps learning → autonomy on a leash.

SAM (System Autonomy Manager) is the googly-eyed avatar in the corner of every screen and your one-tap line to the agency. Type or speak to it: "brief me", "create a task to add dark mode to billing", "triage the queue", "fix the alerts", or anything else in plain English. Commands that create or approve work run as deterministic code, and loosening a safety control waits for your Confirm tap. Realtime voice runs over LiveKit. SAM is on for admins by default (Settings → Platform controls → Integrations).

No cloud account, no database server, no Docker. SQLite storage, the dashboard, and the 24×7 autonomy loops all run in one process.

git clone https://github.com/strikersam/autonomous-ai-agency.git
cd autonomous-ai-agency
./scripts/quickstart.sh          # or: make up

Open http://localhost:8001/ and sign in with the credentials the script prints. The script is idempotent: it writes a local .env with safe defaults, sets up a virtualenv, builds the dashboard and launches everything. First run takes a few minutes; after that it starts in seconds.

Want top-tier output for free? Put a free NVIDIA NIM key (NVIDIA_API_KEY=nvapi-...) in .env and restart. No GPU needed. Docker Compose, Render and troubleshooting: docs/local-setup.md.

Requirements: Python 3.11+ and Node 20+ (Node only builds the UI; --api-only skips it).

flowchart LR
    U([You / SAM]) -->|goal or URL| CEO[CEO agent]
    A[Audit + stack scan] --> CEO
    AL[Alerts bell] -->|auto fix tasks| CEO
    CEO -->|directives| Q[(Task queue)]
    Q --> P[Planner]
    P --> E[Executor]
    E --> V{Verifier<br/>compile + tests}
    V -->|fail| E
    V -->|pass| PR[Pull request]
    PR -->|you merge| SHIP([Shipped])
    V -.lessons.-> P
    Q -.outward-facing.-> G{{Your approval}}
    G --> P

1. Work comes in from you (dashboard, SAM, Telegram, a quick note from your phone), from the audit, from the alerts bell, or from the CEO's own 24×7 assessment cycle.
2. The CEO decides, grounded in live state, its own past decisions, and C-suite advice for business questions. It drops directives that keep failing.
3. Specialists execute through the plan → execute → verify loop, on whichever of a dozen runtimes fits (internal agent, Hermes, goose, aider, OpenHands, OpenCode, Claude Code, E2B, Docker, and more).
4. Every LLM call goes through one router with automatic failover across free and paid providers.
5. You merge. Outward-facing work (deploys, auth, secrets) waits for your approval before it even runs.

The full change history is in docs/changelog.md.

Everything that makes the agents behave, packaged so you can use it without running the agency: 70+ skills, subagents, slash commands, the agent-discipline rules, MCP connector setup and the autonomous-loop pattern. It lives in harness/ and installs into any repo:

./harness/install.sh /path/to/your-repo          # copies; add --link to symlink

Works with Claude Code, Codex, Cursor and Gemini CLI.

Try the audit on its own, no signup and read-only:

pip install -r requirements.txt
PYTHONPATH=. python scripts/run_seo_audit.py --website-url https://yourcompany.com --output-dir ./my-audit

Nothing merges, deploys or messages externally without your approval. On top of that:

Governance ships in observe mode: rules are evaluated and logged, and nothing is blocked until you switch to enforcement. Guide and threat model: docs/governance/.

Models. The free sandbox runs on free-tier models with failover; it shows the loop end to end, not production quality. Production runs on your keys (Claude, OpenAI-compatible, Bedrock, NVIDIA NIM, Groq, Cerebras, DeepSeek, local Ollama) through the same router. No data leaves your server.

Most "autonomous agent" projects show you a demo video. Here are artifacts instead:

A React SPA (Cloudflare Worker) over a FastAPI backend (Render or Docker), MongoDB or SQLite storage, one LLM router for every model call, and a persisted workflow state machine with human-in-the-loop gates. Secrets are env-only, every endpoint is authenticated with three-role RBAC, tasks run in per-task git worktrees, and CI runs Bandit, CodeQL, secret scanning, dependency CVE audits and SBOM generation. Details: platform-guide.md · threat model.

MIT. See LICENSE.

The software is free and always will be (MIT). If you'd like a hand putting it to work, or advice on AI adoption in general, I'm happy to help.

I built this platform end to end: multi-provider LLM routing with failover, multi-agent orchestration, human-approval workflows, observability, and a CI pipeline where the agents ship their own code (proof). I consult on AI strategy and agentic automation. I can deploy this platform on your infrastructure with top-tier models, onboard your company, and tune the specialist fleet to your stack. A hands-on 2-week pilot is the usual starting point. Early design partners get generous terms in exchange for a public case study.

• 📧 strikersam@gmail.com: send your URL and what you'd like automated first
• 📋 Request a pilot or ask a question: a public form, answered within 48 hours
• Or run the audit on your own site and send me the report. I'll walk you through what the fleet would do about it, free.

Issues and PRs are welcome. CONTRIBUTING.md covers dev setup, coding standards and the PR checklist. SECURITY.md covers vulnerability disclosure. A large share of merged PRs here are agent-authored, so reading a few recent ones is the fastest way to see the quality bar.

If you'd rather point an agent at a gap than fix it yourself, open an issue. The fleet's inbound-issue triage may pick it up.

Autonomous AI Agency: the AI team that works while you sleep, on a server you own.

_{For engineers and operators who want the leverage of frontier AI without the cloud bill, the privacy compromise or the headcount.}

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